Fei Hu
Computer Networks and Communications · with Hao · 2014–2018
A researcher in the Science corpus: 3 papers; trusts 75 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 44 citations into it; #4,373 of 9,886 by trust here, #2,099 by citations
- Artificial Intelligence — 35 citations into it
- Electrical and Electronic Engineering — 20 citations into it; #5,694 of 16,539 by trust here, #10,154 by citations
- Computer Vision and Pattern Recognition — 18 citations into it
- Control and Systems Engineering — 8 citations into it
- Reinforcement Learning — 8 citations into it
- Graph Learning — 5 citations into it
Whom Fei Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yann LeCun
- Eric Mannie
- L. Eon Bottou
- Yashar Ganjali
- Amin Tootoonchian
- András Varga
- Yoshua Bengio
- Ruslan Salakhutdinov
- Alex Krizhevsky
Who trusts Fei Hu overall
- Danda B. Rawat
- Ahmet Cihat Baktir
- Hlabishi I. Kobo
- S. Reddy
- Mingzhe Chen
- Atay Ozgovde
- Adnan M. Abu-Mahfouz
- Shuping Dang
- Xiaofei Wang
Papers from Fei Hu's perspective
Ordered by how strongly the researchers Fei Hu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Detection of Faults and Attacks Including False Data Injection Attack in Smart Grid Using Kalman Filter (2014) — 711 citations
- A Survey on Software-Defined Network and OpenFlow: From Concept to Implementation (2014) — 729 citations
- Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey (2018) — 717 citations